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一种新的应用于水声信道的空间分集均衡器(英文)

New Spatial Diversity Equalizer applied to underwater acoustic channels
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摘要 水声信道存在天然的多径衰落特性使得水下声通信变得极其困难,尤其在高阶QAM情况下更为严重.因此针对水声信道提出了一种新的空间分集均衡器来克服由多径衰落引起的码间干扰.该空间分集均衡器中使用的算法由常数模算法和多模算法两部分组成.其中的多模算法部分能够利用高阶QAM信号位于不同的模值上的特点来提高新空间分集均衡器的性能.和基于常数模算法的传统空间分集均衡器相比,新的空间分集均衡器具有低稳态均方误差和快收敛速度.水声信道中的计算机仿真实验验证了新方法的有效性. Underwater acoustic communication is difficult because the fading multipath channels have high-order QAM signals. A new Spatial Diversity Equalizer( SDE) is proposed to overcome the inter-symbol interference( ISI) in underwater acoustic channel. The algorithm in the proposed SDE consists of constant modulus algorithm( CMA) part and multi-modulus blind equalization algorithm part. The second part of the proposed SDE can use the different modulus nature of the high-order QAM signals to improve the equalization performance. Compared with the traditional SDE based on CMA,the proposed SDE can obtain the lower steady-state mean square error and faster convergence rate. The performance of the proposed SDE is shown in underwater acoustic channels by computer simulations.
作者 段美怡 饶伟
出处 《南昌工程学院学报》 CAS 2015年第1期25-29,共5页 Journal of Nanchang Institute of Technology
基金 Supported by Natural Science Foundation of Jiangxi Province(No.2013ZBBE50016) National College Students’ Innovation and Entreprencurship Training Program(No.201311319029)~~
关键词 空间分集均衡器 水下声信道 常数模算法 Spatial Diversity Equalizer underwater acoustic channel constant modulus algorithm
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  • 1许小东,戴旭初,徐佩霞.适合高阶QAM信号的加权多模盲均衡算法[J].电子与信息学报,2007,29(6):1352-1355. 被引量:28
  • 2F. Lee, V. W. S. Chan. Diversity coherent receivers for optical communication over the clear turbulent atmosphere[C]. IEEE International Conference on Communications, 2007. 2485-2492. 被引量:1
  • 3M. Pinchas, B. Z. Bobrovsky. A novel HOS approach for blind channel equalization[J]. IEEE Trans. Wireless Communications, 2007, 6(3): 875-886. 被引量:1
  • 4S. Abrar, A. K. Nandi. Blind equalization of square-QAM signal: a multimodulus approach[J]. IEEE Trans. Commun., 2010, 58(6): 1674-1685. 被引量:1
  • 5S. Abrar, A. K. Nandi. An adaptive constant modulus blind equalization algorithm and its stochastic stability analysis[J]. IEEE Signal Processing Lett., 2010, 17(1): 55-58. 被引量:1
  • 6A. M. Nassar, W. E. Nahal. New blind equalization technique for constant modulus algorithm (CMA)[C]. IEEE International Workshop Technical Committee on Communications Quality and Reliability, 2010. 被引量:1
  • 7A. Goupil, J. Palicot. New algorithms for blind equalization: the constant norm algorithm family[J]. IEEE Trans. Signal Processing, 2007, 55(4): 1436-1444. 被引量:1
  • 8A. T. Sheikh, S. A. Sheikh. Efficient variants of square contour algorithm for blind equalization of QAM signals[C]. World Academy of Science, Engineering and Technology, 2009, 39: 200-208. 被引量:1
  • 9J. S. Choi, A. C. D. Lima, S. Haykin. Kalman filter-trained recurrent neural equalizers for time-varying channels[J]. IEEE Trans. Communications, 2005, 53(3): 472-480. 被引量:1
  • 10H. Q. Zhao, X. P. Zeng, J. S. Zhang et al.. Nonlinear adaptive equalizer using a pipelined decision feedback recurrent neural network in communications systems[J]. IEEE Trans. Communications, 2010, 58(8): 2193-2198. 被引量:1

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